phone screening - questions about research and ML foundations.
onsite - one coding, one ML design, one HM chat, one pure behavioral.
ML design is about video recommender, coding is onsite but not about LC problems
Questions d'entretien [1]
Question 1
oniste coding: not LC problem. You got to write from scratch a cosine similarity computation function given a list of sparse vectors. Then given a target vector, return the top-k similar ones
Phone screen interview
Then onsite interviews: 5 interviews two on coding and three on science and a tech talk
You choose a topic for the presentation
The science interviews are: one on science depth, one on science breath and one on science applications
Questions d'entretien [1]
Question 1
Question on optimizers; comparing gradient decent, adam optimizer etc
Applied for Amazon AGI. After first round, it will go into full round of multiple interviews. Lots of modern LLM training technic questions. There are still some behavioral questions, but less than general Amazon roles.
Interviewed with 1 phone screen, 1 coding, 2 ml design and 2 lp rounds. Most questions were non-leetcode questions more related to day to day ml implementations. The questions were very practical.